A simple physics-based improvement to the positive degree day model
- Creators
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Tsai, Victor C.
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Ruan, Xiaozhou
Abstract
Meltwater is important to understanding glacier health and dynamics. Since melt measurements are uncommon, ice ablation estimates are often based on models including the positive degree day (PDD) model. The PDD estimate is popular since it only requires air temperature as input, but suffers from the lack of physical motivation of an energy-balance model. We present a physics-based alternative to the PDD model that still only takes air/surface temperature as input. The model resembles the PDD model except accounting for time lags in ablation when cold ice needs to be warmed. The model is expressed as a differential equation with a single extra parameter related to the efficiency of heating a near-surface layer of ice. With zero thickness, the model reduces to the PDD model, providing a physical basis for the PDD model. Applying the model to data from Greenland, it improves modestly upon the PDD model, with the main improvement being better prediction of early season melting. This new model is a useful compromise, with some of the physics of more realistic models and the simplicity of a PDD model. The model should improve estimates of meltwater production and help constrain PDD parameters when empirical calibration is challenging.
Additional Information
© The Author(s) 2018. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. MS received 20 November 2017 and accepted in revised form 11 June 2018; first published online 6 July 2018. We thank three anonymous reviewers for their constructive comments. This work was partly supported by NSF grant OPP-1735715.Attached Files
Published - simple_physicsbased_improvement_to_the_positive_degree_day_model.pdf
Supplemental Material - urn_cambridge.org_id_binary_20180816101724966-0933_sup-mat_20180816101724966-0933_S0022143018000552sup001.zip
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Additional details
- Eprint ID
- 89583
- Resolver ID
- CaltechAUTHORS:20180912-135435614
- NSF
- OPP-1735715
- Created
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2018-09-12Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field
- Caltech groups
- Seismological Laboratory